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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weikl, S. Bogenberger, K. |
| Copyright Year | 2012 |
| Description | Author affiliation: Munich University of the Federal Armed Forces, Department of Traffic Engineering, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany (Weikl, S.; Bogenberger, K.) |
| Abstract | During the last two years so-called free-floating Car Sharing Systems became very popular. These systems in comparison to the conventional Car Sharing Systems allow short one-way trips. Today, the spatial distribution of vehicles within free-floating Car Sharing Systems is either self-organized, which means it is only dependent on the customer's demand or in a few cases the positioning is manually controlled by system operators. None of the known free-floating Car Sharing Systems has a clear defined relocation strategy or is online optimized based on the current demand. Within this paper several relocation strategies are introduced and categorized. For each category a relocation algorithm is described and evaluated. Also a new integrated two-step algorithm for optimal positioning and strategy selection is described in detail. This new approach consists of an offline demand clustering that allows for strategy pre-selection. The online module of the approach measures the differences between optimal vehicle positioning and current positioning and selects the best relocation strategy for implementation. |
| Starting Page | 355 |
| Ending Page | 360 |
| File Size | 393734 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467330640 |
| ISSN | 21530009 |
| e-ISBN | 9781467330633 |
| e-ISBN | 9781467330626 |
| DOI | 10.1109/ITSC.2012.6338869 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maintenance engineering Clustering algorithms Internet Optimization Supply and demand Bicycles |
| Content Type | Text |
| Resource Type | Article |
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